Triple
T11076081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ballad of Baby Doe |
E261868
|
entity |
| Predicate | notableAria |
P32698
|
FINISHED |
| Object |
"Letter Aria"
"Letter Aria" is a poignant solo from the American opera *The Ballad of Baby Doe*, in which the title character reads and reacts to a heartbreaking letter that shapes her fate.
|
E902949
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: "Letter Aria" | Statement: [The Ballad of Baby Doe, notableAria, "Letter Aria"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Letter Aria" Context triple: [The Ballad of Baby Doe, notableAria, "Letter Aria"]
-
A.
“Serenade”
“Serenade” is a landmark neoclassical ballet choreographed by George Balanchine to Tchaikovsky’s music, renowned for its lyrical ensemble work and iconic imagery.
-
B.
Aria
Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
-
C.
Aria
Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
-
D.
Aria
Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
-
E.
The Serenade
The Serenade is a romantic comic opera by composer Victor Herbert that helped establish his reputation in early American musical theater.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: "Letter Aria" Triple: [The Ballad of Baby Doe, notableAria, "Letter Aria"]
Generated description
"Letter Aria" is a poignant solo from the American opera *The Ballad of Baby Doe*, in which the title character reads and reacts to a heartbreaking letter that shapes her fate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Letter Aria" Target entity description: "Letter Aria" is a poignant solo from the American opera *The Ballad of Baby Doe*, in which the title character reads and reacts to a heartbreaking letter that shapes her fate.
-
A.
“Serenade”
“Serenade” is a landmark neoclassical ballet choreographed by George Balanchine to Tchaikovsky’s music, renowned for its lyrical ensemble work and iconic imagery.
-
B.
Aria
Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
-
C.
Aria
Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
-
D.
Aria
Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
-
E.
The Serenade
The Serenade is a romantic comic opera by composer Victor Herbert that helped establish his reputation in early American musical theater.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994fcbc081908ff8f7321c0c5892 |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8cc77988190aad54f56dbd0f8cf |
completed | April 18, 2026, 6:09 p.m. |
| NEDg | Description generation | batch_69e3cefc00148190a1850dc6e31523c3 |
completed | April 18, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3d014a644819092c76aa02b573ca9 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 8, 2026, 9:26 p.m.